Matlab程序\dfun1.m
..........\dgfun1.m
..........\dhfun.m
..........\dpfun.m
..........\ff.m
..........\fun.m
..........\fun1.m
..........\gfun.m
..........\gfun1.m
..........\gg.m
..........\gradd.m
..........\Hess.m
..........\hfun.m
..........\phi.m
..........\SQP方法\lagsqp.asv
..........\.......\lagsqp.m
..........\.......\newtlagr.asv
..........\.......\newtlagr.m
..........\.......\qpsubp.asv
..........\.......\qpsubp.m
..........\.......\sqpm.asv
..........\.......\sqpm.m
..........\乘子法程序\bfgs.m
..........\..........\df1.m
..........\..........\dg1.m
..........\..........\dh1.m
..........\..........\dmpsi.m
..........\..........\f1.m
..........\..........\g1.m
..........\..........\h1.m
..........\..........\mpsi.m
..........\..........\multphr.m
..........\二次规划\callqpact.m
..........\........\qlag.asv
..........\........\qlag.m
..........\........\qpact.asv
..........\........\qpact.m
..........\信赖域方法\fun.m
..........\..........\gfun.m
..........\..........\Hess.m
..........\..........\trustm.m
..........\..........\trustq.m
..........\共轭梯度法\frcg.m
..........\..........\fun.m
..........\..........\gfun.m
..........\拟牛顿法\bfgs.m
..........\........\broyden.m
..........\........\dfp.m
..........\........\fun.m
..........\........\gfun.m
..........\........\sr1.m
..........\最速下降法与牛顿法\dampnm.m
..........\..................\fun.m
..........\..................\gfun.m
..........\..................\grad.m
..........\..................\Hess.m
..........\..................\revisenm.m
..........\线搜索技术\armijo.m
..........\..........\golds.m
..........\..........\qmin.m
..........\非线性最小二乘问题\Fk.m
..........\..................\JFk.m
..........\..................\lmm.m
..........\SQP方法
..........\乘子法程序
..........\二次规划
..........\信赖域方法
..........\共轭梯度法
..........\拟牛顿法
..........\最速下降法与牛顿法
..........\线搜索技术
..........\非线性最小二乘问题
Matlab程序